• Journal of Digital Convergence
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• v.10 no.8
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• pp.159-172
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• 2012

In the recent, due to explosion of Digital Universe, the performance of computer and storage system is reducing. Therefore, the upgrade and capacity expansion needs is growing. Countermeasure for this problem is required fundamental and long-term solutions rather than piecemeal expansion. In this paper, we establish a data management policy for an enterprise through the operational status of storage system and the analysis of data value of it, and implement ILM-based tiered storage system on the basis of these. The results of this study shows the overall throughput was improved about 21% compared to the existing system, it is very effective to maintain continuous quality and reduce operating costs in the long term aspect.

• Journal of information and communication convergence engineering
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• v.20 no.2
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• pp.125-130
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• 2022

In modern society, as many data are used for research or commercial purposes, the value of data is gradually increasing. In related fields, research is being actively conducted to collect valuable data, but it is difficult to collect proper data because the value of collection is determined according to the performance of existing sensors. To solve this problem, a method to effectively reduce noise has been proposed, but there is a point in which performance is degraded due to damage caused by noise. In this paper, a device capable of collecting time series data was designed to correct such data noise, and a correction technique was performed by giving an error value based on the representatively collected ultrafine dust data, and then comparing before and after Compare performance. For the correction method, Kalman, LPF, Savitzky-Golay, and Moving Average filter were used. Savitzky-Golay filter and Moving Average Filter showed excellent correction rate as an experiment. Through this, the performance of the sensor can be supplemented and it is expected that data can be effectively collected.

• Journal of the Korean Society of Clothing and Textiles
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• v.31 no.3 s.162
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• pp.376-386
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• 2007

The purposes of this study were to reveal the relation of consumer value variables and to identify the difference of clothing information exploration behaviors on consumer value variables. The data were collected from 267 college women residing in Gwangju using a Questionnaire to general value, clothing value, consumption value and clothing information exploration behaviors. It were analyzed with factor analysis, cluster analysis, T-test, ANOVA and multiple regression analysis using statistical program SPSS 10.0. The results of this research were as follows: 1. Only one factor of general value had a significant influence on 'practical' of clothing value. All of general value and clothing value had a significant influence on the whole consumption value. 2. Clothing information search behaviors was divided into three factors: 'variety pursuit' 'active information collection' and 'uniqueness pursuit'. General value group had a significant difference in 'variety pursuit' and 'active information collection' behavior. Clothing value and consumption value group had a significant difference in all factors of clothing information search behaviors. By implication, this study could be explain each contributions of consumer values and suggest useful variable of consumer values in future clothing behaviors research.

• Journal of Information Technology Services
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• v.14 no.2
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• pp.355-373
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• 2015

Social networking services (SNSs) serve to strengthen people's social relationships by providing ways for people to utilize such relationships especially like workplace. With the development of the internet worldwide, the number of SNS users is rapidly growing and a wider range of service types have become available. In this study, we designed a research model with a focus on what makes people use SNSs at workplace and how it is associated with changes in relationship quality and their intention to continue using the services and analyzed data collected for the research model. Theoretically, intrinsic and extrinsic motivation was invoked and measured, in terms of hedonic and utilitarian values, and satisfaction and trust were adopted as variables of relationship quality. Data were collected from Facebook users using workplace, and a partial least squares (PLS) analysis was made on 188 data points. The analysis results showed that two forms of motivation-hedonic and utilitarian-are separated from each other in their influence and that utilitarian value is more important than hedonic value, especially when it comes to users' satisfaction. In addition, the analysis found a weak relationship between satisfaction and trust in SNS environments; this was a little different from the results of previous studies.

• Korean Institute of Interior Design Journal
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• no.31
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• pp.56-63
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• 2002

This study intends to prepare a system that can be used, by applying digital technique, in analyzing complexity of architectural forms that have been visualized by the correlation based on the distribution chart made in accordance with profile lines. The profile lines are derived from the edge analysis of the architectural forms, simplified based on the visual theory. For the purpose, this study was conducted in the following ways: First, problems of the existing models for the elevation analysis were examined along with formal analysis based on visual recognition to consider the profile lines derived from the forms. Secondly, in elevation analysis, profile lines were derived by digital method to measure them qualitatively. To verify the objectivity of the measured data value, a survey was conducted based on the adjective cataloging method, and the correlation of the survey result and analyzed data was analyzed to verify the validity of the derived data. Thirdly, supplementation for the problems deducted from experiments and the possibility to use it in designing were suggested. Digital method has many advantages over the conventional analyzing system in deriving precise data value by excluding subjectivity. It also allows various analytical methods in analyzing numerous data repeatedly. Diversified models and methods of analysis considering numerous factors arising in the process of designing remain assignments to research in future.

• The Korean Journal of Ecology
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• v.9 no.3
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• pp.135-147
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• 1986

The simplification and the searching trends of complex data which assumed relationship between predictor variables and object variables are one of primary objective of ecological research. This study was aimed to apply cononical analysis consisting of canonical correlation analysis and canonical variate analysis related to lichen vegetation and several environmental variables which are elevation, height on grond, exposure side and cover values. Data collected from the Duckyoo National Park in August 1985. Lichen species was ranked by eqivocation information theory with cover values. Canonical correlation analysis was applied to one data set both set both environmental variables and lichem family. In order to make two sets of data matrix the scale of position vector ordination was calculated from the vector scalar product for lichen species. Canonical variate analysis was applied to rearranged data which was made by interval class code for environmental variables. The sharpness values was calculated in frequency of cotingency tables and the dispersion profiles of each species in classes of environmental variables was designed to extract component values based on the decomposition of expected frequencies in contingency table. The results of canonical correlation analysis revealed canonical first correlation value 0.815(89%), and second correlation value 0.083(11%). Significance test showed that the hypothesis of joint mutuallity of canonical correlation is accepted (P>0.05). The relation between canonical score of vegetation variables and that of environmental variable indicated linear tendency.

• Journal of the Korean Statistical Society
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• v.25 no.1
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• pp.67-80
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• 1996

Factor analysis is a multivariate technique for describing the in-terrelationship among many variables in terms of a few underlying but unobservable random variables called factors. There are various approaches for this factor analysis. In particular, principal factor analysis is one of the most popular methods. This follows the mathematical algorithm of the principal component analysis based on the singular value decomposition. But it is known that the singular value decomposition is not resistant, i.e., it is very sensitive to small changes in the input data. In this article, using the resistant singular value decomposition of Choi and Huh (1994), we derive a resistant principal factor analysis relatively little influenced by notable observations.

• Journal of Distribution Science
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• v.15 no.4
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• pp.5-13
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• 2017

Purpose - This research analyzes the effects of Korean family ownership characteristics on firm value. The positive and negative effects of family ownership on Korean firm value were analyzed. If negative effects are evident, this research explores the factors that cause a decrease in firm value. Research design, data, and methodology - The study examined a total of 5,743 companies listed on the Korea Exchange from the period 2002 to 2012 using a panel data regression analysis. Result - An empirical analysis suggests that Korean family ownership diminishes firm value. Korean family firm value has been reduced when controlling shareholders are participated in management and pursue excessive wages, or make the management entrenchment effects associated with ownership-control disparity. When the controlling shareholders of family firms have increasing control rights over the shareholders' general meeting and the directors' board, the agency costs associated with seeking increasing executive wages or private benefits reduce firm value. Conclusions - This study has significance because it reveals the negative effect of family ownership in Korea on firm value. These negative effects can be the result of agency problems from controlling family shareholders seeking excessive wages or ownership-control disparity.

• Journal of the Korean Society of Clothing and Textiles
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• v.32 no.11
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• pp.1680-1691
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• 2008

This study examines how the development and value of dresses shown in MBC historical dramas have changed with the overall change of the dramas. As for the research method, the second data analysis was done with literature study which was supplemented with interviews with the wardrobe team of MBC production design center. Historical dramas produced by MBC have gone through the developmental period, legitimate historical drama-oriented period, stagnant period, and historical dramas-modernized period. The value of costume in each period is as follows: Costume in the developmental period is considered only as part of drama setting. During legitimate historical drama-oriented period, it carries value as educational data and historical replica produced by historical research. Production design including costume obtains its own value in the stagnant period although the production of historical dramas decreases dramatically. And lastly, in the historical dramas-modernized period, costume starts to have commercial value as cultural contents. Historical drama costume may contain important value in terms of education and history, even though there has been controversy on TV historical dramas' role: they should focus on reproducing historical facts or they should support writers' creativity.

• Journal of the Korean Society of Clothing and Textiles
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• v.32 no.2
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• pp.247-258
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• 2008

The purposes of this study were to investigate influences of consumer's shopping value, brand alliances and apparel product involvement on purchasing behavior. The subjects of 172 hedonic shopping value and 208 utilitarian shopping value were chosen to participated for data collection. The data was analyzed by factor analysis, cluster analysis, and ANOVA. The main results of study were summarized as follows: 1. When an Internet Private Brand(PB) did not form brand alliance with a National brand(NB), utilitarian shopping value consumers did not differ in preference irrespective of whether product involvement was high or not. However, when the PB formed brand alliance with well-known NB, they showed higher preference for the high involvement apparel product than the low involvement product. 2. When an Internet PB did not form brand alliance with well-known NB, the utilitarian shopping value consumers' word-of-mouth intention did not differ between the high involvement apparel product and low involvement apparel product. 3. It was revealed that when an Internet PB did not form brand alliance, the utilitarian shopping value consumers showed higher intention to purchase than that of the low involvement product.